Patentable/Patents/US-10520728
US-10520728

Embedded optimization algorithm of parameters to drive deployment mechanism for displays

PublishedDecember 31, 2019
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

A deployment system for a device of a vehicle is described. The deployment system includes a non-transitory computer readable medium to store instructions of the deployment system and a processor configured to execute the instructions. The processor is configured to deploy the device using a parameter, determine a Mean Square Error (MSE), and run a Statistical Process Control (SPC) test on the MSE. The processor is further configured to determine that no special event is present and process a new parameter using the parameter and the SPC test results. An evolutionary operation (EVOP) algorithm is also used to calculate the new parameter.

Patent Claims

Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.

Claims not yet imported for this patent.

Claims are being imported from USPTO data. Check back soon!

Classification Codes (CPC)

Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.

Patent Metadata

Filing Date

October 17, 2017

Publication Date

December 31, 2019

Want to explore more patents?

Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.

Citation & reuse

Analysis on this page is generated by Patentable — an AI-powered patent intelligence platform. AI-generated summaries, explanations, FAQs, and analysis may be reused with attribution and a visible link back to the canonical URL below. Patent abstracts and claims are USPTO public domain.

Cite as: Patentable. “Embedded optimization algorithm of parameters to drive deployment mechanism for displays” (US-10520728). https://patentable.app/patents/US-10520728

© 2026 Nomic Interactive Technology LLC. Machine-readable context available at /api/llm-context/US-10520728. See llms.txt for full attribution policy.